Kwai

Kling 3.0 Pro

Advanced generative video architecture with physical simulation consistency, multi-angle camera trajectory, and 4K temporal coherence.

#24rilasciato il 1 ott 2026·Proprietary·Not disclosed
textvideo64K ctx
Provider APIEsegui modello →Classifica
Intelligenza
88.6 #24
AAQI 88.0
Velocità Uscita
25 t/s
ITL 40.0 ms/tok
Prezzo combinato (3:1)
$0.1 /1M
Input $0.1/M · Output $0.1/M
Contesto
64K
≈ 160 pagine A4 · output max 2,048

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Kling 3.0 Pro
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (40)Agentic & Tool Use (25)Knowledge (MMLU) (60)Vision / Multimodal (98.8)

Gli assi radar sono approssimati dai punteggi di categoria dove mancano misurazioni dirette — vedi Metodologia.

Punti di forza e compromessi

Dove vince

  • Beats Veo/Seedance-class rivals in blind professional evals
  • Strong physics — cloth, fluids, collisions stay coherent
  • Excellent image-to-video identity retention

A cosa fare attenzione

  • No native audio track — pair with a TTS/score pipeline
  • Queue latency on long 1080p generations
  • English prompt adherence weaker than Chinese

Casi d'uso killer

UGC ad clips
Short-form product and lifestyle ads at scale.
Previz & storyboards
Animated storyboards with consistent characters.
Product demos
Motion shots from a single reference image.

Quickstart per sviluppatori e API

Imposta prima KLING_API_KEY — ottieni una chiave API
curl -X POST "https://api.klingai.com/v1/videos/text2video" \
  -H "Authorization: Bearer $KLING_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_name": "kling-v3-0-pro",
    "prompt": "A drone shot gliding over a rainy neon city at night",
    "duration": "5",
    "aspect_ratio": "16:9"
  }'

Async video API — submit a task, then poll the task_id until the clip is ready.

Risorse e link ufficiali

Deployment API

Confronta host e latenza

Throughput, TTFT e prezzi cache su Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock e Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Vedi matrice provider →

Punteggi per Fonte

Specifiche live e architettura

Sotto il cofano
Kling 3.0 — diffusion-transformer video model
  • Physical-simulation consistency across frames
  • Multi-angle camera coherence and motion control
  • Pro tier: 1080p output with multi-shot control
  • Text-to-video and image-to-video pipelines
Data di Rilascio
1 ott 2026
Architettura
Kling 3.0 — diffusion-transformer video model
Parametri
Not disclosed
Licenza
Proprietary
Finestra di Contesto
64,000 tokens
Output max
2,048 tokens
Modalità
text + video
Prezzi cache
lettura $0.02 · scrittura $0.1 /1M
Ragionamento
—
Prezzo Ingresso
$0.1/M
Prezzo Uscita
$0.1/M
Velocità Uscita
25 t/s
Tempo al Primo Token
—
Dati aggiornati
5 ott 2026

Stima bolletta mensile

Spesa mensile stimata
$0.00
Calcolo risparmio vs GPT-4o…

Cita e incorpora

Badge Markdown GitHub
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BibTeX
@misc{llmpodium2026kling30pro,
  title = {Benchmark Analysis and Intelligence Evaluation of Kling 3.0 Pro},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/kling-3-0-pro}
}

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Aggiungi un badge Podium Score live al tuo README su GitHub o Hugging Face — rimanda alla classifica live.

Anteprima
Kling 3.0 Pro LLMPodium Score
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